Published March 15, 2019 | Version 0.87.0
Software Open

impetuous-gfa

Description

# A Statistical Learning library for Humans

This toolkit currently offers enrichment analysis, hierarchical enrichment analysis, novel PLS regression, shape alignment, connectivity clustering, clustering and hierarchical clustering as well as factor analysis methods.

The fine grained data can be studied via a statistical tests that relates it to observables in a coarse grained journal file. The final p values can then be rank corrected by employing a novel q-value method.

https://pypi.org/project/impetuous-gfa/

https://github.com/richardtjornhammar/impetuous
https://gitlab.com/richardtjornhammar/impetuous
https://bitbucket.org/richardtjornhammar/impetuous
https://codechina.csdn.net/m0_52121311/impetuous

 

Files

impetuous-gfa-0-87-0.zip

Files (3.3 MB)

Name Size Download all
md5:4f42e91bf610663014e5fe38c5bd5eb1
52.3 kB Download
md5:67acb009361738962c848a1e7aca1dcd
2.4 MB Preview Download
md5:6683ceda445d904d28b7d1d20af9d522
1.3 kB Download
md5:87ee0120be9b2cd1fa03cc2632f3546c
21.7 kB Download
md5:4c50436050ec8522f9087f4ebe39994f
21.8 kB Download
md5:865865ab0bcd8251a7b194d33ed90afa
22.5 kB Download
md5:c5233dbba52e43c4b0ec2a3af64d3e33
10.9 kB Download
md5:0d0028dcd5660a5e1deb7b2ded41fe40
11.6 kB Download
md5:5e2bbb1f9e5433912aa5bd5ab55664a7
12.1 kB Download
md5:0610bf33fe56564031b1eb1454fd4374
12.2 kB Download
md5:4c774a39396aee1ac189e89b7b1643a5
12.9 kB Download
md5:8d1938cab76cb5a338dc943735075aec
14.9 kB Download
md5:84052746266bd028a1bf6e47ab669de5
10.1 kB Download
md5:358774e2d32f392ef03f4462427ead3d
10.6 kB Download
md5:95a8149a4bc61b7c88631da9c5749d64
10.6 kB Download
md5:b8117931f86bca12b3bcc3e5955caa4d
35.3 kB Download
md5:401950dea5c1604dc58e80c886b1f103
35.5 kB Download
md5:7937c09e4c7dc34f5887251ee05d0db0
15.1 kB Download
md5:a62092b9264a9f3aa749c4f327e1abe1
16.5 kB Download
md5:495d902e07109a3c1e4a4ecaa64f74af
37.2 kB Download
md5:1344feabd8f8fa264fe8ffa56fa5ed0e
16.7 kB Download
md5:23d94ee584dbdc14741ef319c1171af4
55.1 kB Download
md5:ba4186b1abb775cf38ecd36920382e60
55.1 kB Download
md5:a5a39340a0978240fd841b02f187559b
17.0 kB Download
md5:54471b2ad85cde29bcbb47d932e405a2
16.7 kB Download
md5:144862a0a28c58481b7d822fabadb572
17.5 kB Download
md5:2792cd7bb02e780d76de7e4fcbb1ba3c
106.0 kB Preview Download
md5:410ae85059f9aaafa75dbc90d52979ac
106.2 kB Preview Download
md5:d623ffe42d68267dec6be0412d0b1667
18.0 kB Download
md5:6c2798ceca9b386ca420c601beb342e9
20.1 kB Download
md5:3ddaa2662ea04319f19478e5f7904c68
20.5 kB Download
md5:0e4e8c9eea661ac8b97c0395e072e3b6
20.7 kB Download
md5:cd4c2a936849ee00f626069fe999816e
20.8 kB Download
md5:c7814287e02d6b2561b135bd2cc4f245
20.9 kB Download
md5:c2f5d82028ef7175f64e0b8af16ba6e6
21.1 kB Download
md5:980675e5514e581c960747af502fa3bc
21.2 kB Download
md5:8f98051db5d04a9263780410424691c9
21.2 kB Download